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Apache Cassandra Overview

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data. Cassandra's support for replicating across multiple datacenters is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages.

Cassandra's ColumnFamily data model offers the convenience of column indexes with the performance of log-structured updates, strong support for materialized views, and powerful built-in caching.

See for more information.


Cassandra deployments are relatively simple in that they consist of a set of Cassandra nodes which seed from each other to create a ring of servers::

juju deploy --repository . local:cassandra
juju add-unit -n 2 cassandra

The service units will deploy and will form a single ring.

The API to Cassandra is supported through Apache Thrift; Thrift is a software framework for scalable cross-language services development.

See this documentation for more details of how to use this API.

Cassandra recommend using one of the many client options - see [ClientOptions( for more details

To relate the Cassandra charm to a service that understands how to talk to Cassandra using thrift::

juju deploy --repository . local:service-that-needs-cassandra
juju add-relation service-that-needs-cassandra cassandra


Cassandra has a pretty good guess at configuring its Java memory settings to fit the machine that it has been deployed on.

The charm does support manual configuration of Java memory settings - see the config.yaml file for more details::

    auto-memory: false
    heap-size: 8G
    new-gen-size: 250M

However be aware that its recommended that Cassandra always remains in 'real' memory and should never be swapped out to disk so keep this in mind when changing these options.

Cassandra sets both is minimum and maximum heap size on startup so will pre-allocate all memory to avoid freezes during operation (this happens during normal operation as more memory is allocated to heap.

Words of Caution

Changing the configuration of a deployed Cassandra cluster is supported; however it will result in a restart of each Cassandra node as the changes are implemented which may result in outages.

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